Quiz Space

Introduction to Natural Language Processing · Quiz 2 · 16 Mar 2025 · January 2025 term

Question 11: You are comparing rule-based machine translation (RBMT),…

Question 11

+3 marksOne or more correct options

You are comparing rule-based machine translation (RBMT), statistical machine translation(SMT), and example-based machine translation (EBMT) for translating a set of sentences between English and Spanish. Based on the characteristics of these techniques, which of the following statements are correct?

Select all that apply.

  1. A

    RBMT heavily relies on linguistic resources such as bilingual dictionaries and grammar rules, making it less effective for low-resource language pairs.

  2. B

    EBMT does not rely on explicit linguistic rules but instead retrieves and reuses translation examples, making it highly dependent on the quality of the example database.

  3. C

    RBMT has a strong ability to generalize to unseen inputs due to its reliance on manually crafted linguistic rules.

  4. D

    SMT can handle unseen words better than RBMT by leveraging subword-level probabilities for translation.

  5. E

    EBMT achieves higher translation accuracy than SMT in domain-specific scenarios if the example database contains relevant matches.

Show answer

Correct answers

  • A

    RBMT heavily relies on linguistic resources such as bilingual dictionaries and grammar rules, making it less effective for low-resource language pairs.

  • B

    EBMT does not rely on explicit linguistic rules but instead retrieves and reuses translation examples, making it highly dependent on the quality of the example database.

  • E

    EBMT achieves higher translation accuracy than SMT in domain-specific scenarios if the example database contains relevant matches.

See the whole paperTake it as a mock test

Question 11 of 18 in the IIT Madras BS Introduction to Natural Language Processing (Intro to NLP) Quiz 2 paper sat on 16 Mar 2025, in the January 2025 term (IIT M DEGREE AN EXAM QDB2 16 Mar 2025). It carries 3 marks.

More questions from this paper

  1. Q1Consider the given Assertion and Reason. Choose the correct option.\ Assertion (A): FastText produces word embeddings o…
  2. Q2Suppose TF-IDF is applied to a corpus of medical research papers. In a document discussing COVID-19 vaccines, which of …
  3. Q3Which of the following statements is/are INCORRECT?
  4. Q4In an LSTM network, each gate has a specific function. Which of the following statements about the functions of LSTM ga…
  5. Q5Given the following corpus with word frequencies: If we apply BPE, What will be the merged token after the second merge…
  6. Q6Which of the following statements best explains why RLHF improves over instruction fine-tuning alone?
  7. Q7Match the application to the correct RNN type: Which of the following mappings is correct?
  8. Q8In an attention-based RNN, what does the context vector represent?
  9. Q9You are using QLoRA to fine-tune a neural network. The weight matrix W has dimensions 1024 x 2048, and LoRA uses rank 8…
  10. Q10Which of the following use cases can benefit from using TF-IDF?
  11. Q12Which of the following are key components of the BERT architecture?
  12. Q13In positional encoding for a transformer model, why are sine and cosine functions used for encoding positions?
  13. Q14What happens if you increase the number of attention heads in a transformer model while keeping the embedding size cons…
  14. Q15Which of the following is/are INCORRECT?:
  15. Q16You are analyzing a collection of movie reviews using the Bag of Words (BoW) model. Here are three sample reviews: The …
  16. Q17A simple RNN has 10 hidden units, and the input feature size is 5. If the output size is 8, what is the total number of…
  17. Q18A model has 1,000,000 parameters. LoRA is applied to a 100 x 100 parameter matrix in the model and results in 400 new L…